Multi-Input Multi-Output (MIMO) telecommunication systems with Orthogonal Frequency Division Modulation (OFDM) scheme support high rate data exchange which can be efficiently applied to the fast-growing networks of Internet of Things (IoT). In the case of Underwater IoT (UIoT) where the strength of electromagnetic waves rapidly falls off, the MIMO network can be effectively implemented by substitute of acoustic OFDM instead of the normal one. Due to these advantages, this research work suggests ICA based acoustic MIMO OFDM for UIoT wherein the data rate is further improved as the MIMO OFDM is implemented based on blind channel estimation and multi-user identification without the need for using any pilot and preamble data. Also, theoretical analysis shows the data rate increases and energy consumption decreases due to ICA-based MIMO acoustic channel estimation. In the case of the under-work UIoT network, it achieves 52.38% higher data rate, and 41.67% less energy consumption. As another specific result, the proposed method shows high efficiency on sparse underwater channels and as the channel sparseness gets lower, the efficiency decreases.

具有正交频分调制（OFDM）方案的多输入多输出（MIMO）电信系统支持高速率数据交换，可以有效地应用于快速增长的物联网（IoT）网络。在电磁波强度迅速下降的水下物联网（UIoT）的情况下，可以通过替代声学OFDM而不是普通OFDM来有效地实现MIMO网络。由于这些优点，这项研究工作提出了用于UIoT的基于ICA的声学MIMO OFDM，其中，由于基于盲信道估计和多用户标识实现了MIMO OFDM，因此无需使用任何导频和前导数据，从而进一步提高了数据速率。还，理论分析表明，由于基于ICA的MIMO声信道估计，数据速率增加而能耗降低。在工作中的UIoT网络的情况下，它可提高52.38％的数据传输率，并减少41.67％的能耗。作为另一个具体结果，该方法在稀疏水下通道上显示出高效率，并且随着通道稀疏度降低，效率降低。